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Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Leads the AI product vision for BMO’s internal tech systems, defining Gen AI roadmaps, prioritizing use cases, and guiding implementation of LLMs, RAG, and responsible AI practices.
Build and deploy production-grade AI systems using LLMs, RAG, and agent workflows, integrating them into enterprise systems while ensuring scalability, security, and measurable business impact.
Build and mentor ML systems for AI-powered tax research, using deep learning and generative AI to enhance product features.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Senior Sales Engineer driving technical pre-sales for Veeam’s Securiti AI portfolio, designing demos and POCs to showcase data/AI security solutions across cloud platforms and compliance frameworks.
Build and validate enterprise Generative AI and Agentic AI systems using LLMs, RAG, and AI agents to improve financial services workflows while ensuring compliance with governance and audit standards.
Develop enterprise lending platforms using Java/Spring Boot, modernize Loan IQ systems, and build AI-assisted APIs and automation to improve loan servicing operations.
Build, deploy, and maintain AI/ML models including LLMs and Agentic AI systems using cloud platforms like Azure and GCP to solve business and scientific problems.
Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture to production.
Build and ship the AI backbone for a property-management assistant: RAG pipelines, multi-step agent workflows, and LLM integrations that power daily operations for 20,000+ HOA and condo communities.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
Design and build cloud-native AI agents and ML systems for Autodesk’s PDM/PLM workflows, focusing on LLM, RAG, MCP, and agentic architectures in production.
Build LLM-powered agents to automate code generation, testing, reviews, and deployment, integrating AI into Lattice’s software toolchain.
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
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